This repository serves as a template for your to produce a Docker container with your model.
Your model should be trained and loadable at this stage.
There are three important files: for you to modify:
requirements.txt- Python dependencies for your model.
Python packages specified inrequirements.txtwill be installed in the container's Python environment when it is built.process.py- Modify the section to load and call your model.
Load your model and use it to make predictions on the input.Dockerfile- Add the files needed to run your model (model weights, code, etc.)
Once complete, you can run build.sh to build the container, and export.sh to package it for upload.
The original source code for the algorithm container was generated with evalutils version 0.3.1.